应用锁骨薄层CT容积重建影像推算四川汉族身高

目的探讨锁骨薄层CT三维容积重建影像(CT-VRT)在身高推算中的应用价值,以期更新我国西南地区身高推算数据,为鉴定实践提供技术支撑。方法应用300例锁骨薄层CT-VRT影像,测量并计算左侧锁骨长(LCL)、右侧锁骨长(RCL)、双侧锁骨均长(ACL),分析身高与LCL、RCL、ACL相关性及性别差异,建立身高推算线性回归方程,并对所建模型进行回代检验。结果男性、女性ACL和身高的相关系数分别为0.534、0.707;LCL和身高的相关系数分别为0.484、0.680;RCL和身高的相关系数分别为0.523、0.695。分别建立ACL、LCL、RCL男女性身高推算线性回归模型。回代检验示ACL方程男性身高推算平均绝对误差(MAD)为4.48cm,女性MAD为3.51cm;LCL方程男性身高推算MAD为4.60cm,女性MAD为3.64cm;RCL方程男性身高推算MAD为4.49cm,女性MAD为3.59cm。结论建立的推算身高的回归方程具有统计学意义,模型预测精度较高,表明利用薄层CT-VRT影像测量的锁骨可运用于四川汉族人群身高推算研究。但模型R2较小,因此在应用ACL进行身高推算时最好结合其他指标。

Stature estimation from the average length of clavicle by using computed tomography-volume rendering technique images of Sichuan Hans population

Objective The purpose of this study is to estimate the body height of Sichuan Hans population by CT-VRT images of clavicle and to update the data of Stature estimation. Methods Three hundred individual CT-VRT images of clavicle were selected. The length of both side clavicles was measured and then the average clavicle length (ACL),the left clavicle length(LCL),the right clavicle length(RCL)was calculated as independent variable to establish the regression equations. The gender difference was tested by ANOVA and the correlation between the clavicle and the body height was tested by Pearson. Result The correlation between the ACL, LCL, RCL and the body height was normal in both genders (0.534 in male ACL and 0.707in female ACL; 0.484 in male LCL, 0.680in femaleLCL;0.523 in male RCL, 0.695 in female RCL). The test of accuracy showed MAD=4.48cm in the male ACL simple linear regression model and MAD=3.51cm in the female ACL simple linear regression model; MAD=4.60cm in the male LCL model, MAD=3.64cm in the female LCL simple linear regression model; MAD=4.49cm in the male RCL model, MAD=3.59cm in the female RCL model. Conclusion The regression equations derided from clavicle on the basis of CT-VRT images in this study can be used to estimate stature for Sichuan Hans population. But the R2 values were small, so it's better to combine other bone for stature estimation.